Staff Machine Learning Engineer

Job Description

• Conceptualizing, developing, and deploying machine learning models and pipelines.
• Implementing advanced machine learning algorithms, such as Transformer-based models and reinforcement learning.
• Processing and analyzing large, complex datasets.
• Working across the complete lifecycle of ML model development.
• Implementing A/B testing and other statistical methods.
• Building data pipelines and integrating machine learning models into products and services.
• Communicating the technical workings and benefits of ML models to stakeholders.

• A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
• Proven experience in building and deploying production-level machine learning models.
• Deep understanding and practical experience with NLP techniques and frameworks.
• Deep understanding of any supply chain applications, reinforcement learning, and agent-based systems.
• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
• Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
• Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
• Familiarity with cloud platforms like GCP or Azure.
• Good understanding of software development principles, data structures, and algorithms.
• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
• The ability to work collaboratively in an extremely fast-paced, startup environment.

• Opportunity to work on cutting-edge ML and AI methodologies.
• Chance to solve key supply chain planning and execution problems.
• Collaborative work environment.